Uniphore, the Enterprise AI firm, right this moment launched the Uniphore Enterprise AI Cloud: a sovereign, composable, and safe platform that bridges the “AI divide” between IT and enterprise customers by combining the simplicity of client AI with enterprise-grade safety and scalability.
Whereas AI applied sciences quickly reshape the enterprise, there was little give attention to deploying AI in a manner that empowers CIOs to scale it securely throughout the group whereas enabling enterprise customers to intuitively entry AI with the complete energy of enterprise information, integrations, and context. IT and enterprise should be united by way of a single AI platform to satisfy AI’s promise as a transformative drive for enterprise.
Additionally Learn: Upgrading to Good Assembly Rooms with AI Integrations
Introducing the Enterprise AI Cloud
Uniphore’s Enterprise AI Cloud powers the agentic enterprise with a full-stack AI platform spanning information, information, fashions, and brokers. It empowers enterprise customers to deploy AI brokers and faucet into enterprise information immediately, whereas giving CIOs the inspiration to ship safe, embedded AI purposes educated on enterprise information.
- Knowledge Layer: A zero-copy, composable information material that connects to any platform, utility, or cloud – querying and getting ready information the place it lives to remove migrations and speed up AI adoption.
- Data Layer: Constructions and contextualizes enterprise information into AI-ready information retrieval, enabling proprietary SLM fine-tuning. Perpetual fine-tuning, and unlocking deep, explainable insights throughout domains.
- Mannequin Layer: Open and interoperable with each closed- and open-source LLMs, permitting enterprises to use guardrails and governance to fashions, in addition to orchestrate and swap fashions with out rework as applied sciences evolve.
- Agentic Layer: Provides pre-built enterprise-grade brokers and a pure language agent builder, plus Enterprise Course of Mannequin and Notation (BPMN) primarily based orchestration for deploying AI into actual workflows throughout gross sales, advertising and marketing, service, HR, and extra.
Breaking By means of the Obstacles to Enterprise AI
Regardless of a slate of AI platforms and purposes, AI adoption in enterprise nonetheless faces important friction. The Enterprise AI Cloud was purpose-built to deal with the 4 greatest blockers to enterprise AI adoption:
- The Knowledge Layer Bottleneck: Discovering information that’s disorganized and reworking and getting ready information to be used by AI continues to be closely guide, time-consuming, and fragmented, slowing down deployment and making AI more durable to scale.
- Knowledge Sovereignty: International enterprises want a singular structure throughout cloud, multi-cloud, or on-premises.
- Disconnected AI Possession Between IT and Enterprise: IT usually owns AI infrastructure and technique, however AI expertise wants to take a seat with enterprise. Present AI platforms don’t permit speedy adoption by enterprise customers.
- Rip-and-Exchange Necessities: Most AI platforms lack compatibility with the present enterprise expertise stack and require important adjustments to deploy.
“Most AI options right this moment have been constructed for customers or researchers, not for enterprises,” mentioned Umesh Sachdev, CEO and Co-founder of Uniphore. “Uniphore Enterprise AI Cloud adjustments that. We’ve introduced collectively 4 important layers of the AI stack: information, information, fashions, and brokers. CIOs can now deploy AI securely at scale, retaining possession of AI governance, whereas enabling enterprise customers to drive the expertise and the worth.”
Additionally Learn: Is LoRa the Spine of Decentralized AI Networks?
The Uniphore Enterprise AI Cloud – Sovereign, Composable and Safe
As a sovereign, composable and safe AI platform for the enterprise, Uniphore offers CIOs and Enterprise leaders three important capabilities for speedy AI deployment and adoption.
- Sovereign: Uniphore helps cloud, multi-cloud, and on-premises deployments of enterprise AI brokers and apps. Our platform permits enterprises to retain management over their information, fashions, and AI workflows. By means of a singular zero-copy structure, Uniphore ensures information stays in place, assembly privateness, regulatory, and governance necessities.
- Composable: Uniphore integrates with current enterprise expertise and information stacks and connects to any AI information supply, mannequin, or utility. This flexibility permits deployment with out lock-in to a selected vendor, mannequin, or structure.
- Safe: Uniphore embeds AI-specific protections, together with guardrails to regulate mannequin conduct, observability, granular governance, adversarial immediate protection, and ongoing red-teaming to make sure system resilience and compliance.
Enterprise AI, Simplified.
Uniphore bridges the hole between client and enterprise AI, delivering the simplicity, personalization, and ease of use that enterprise customers anticipate, with the enterprise-grade safety, governance, and scalability that IT calls for. In contrast to client instruments that lack enterprise context and management, or technical AI frameworks designed just for builders, Uniphore’s Enterprise AI Cloud empowers each CIOs and enterprise customers by unifying brokers, fashions, information, and information right into a single, composable platform. This stability of usability and rigor unlocks the true promise of AI, not simply as a technological improve, however as a transformative drive for enterprise.
Trusted by International Enterprises
Uniphore is deployed throughout hundreds of end-customer environments spanning all main industries. Main international skilled providers companies are additionally utilizing the Enterprise AI Cloud to construct customized fashions, deploy brokers, automate enterprise workflows, and ship AI-enhanced buyer and worker experiences at scale.
“With Uniphore, we’re constructing an agentic AI manufacturing facility, designed to quickly create, deploy and orchestrate AI brokers throughout our buyer environments,” mentioned Oscar Vergé, chief AI deployment officer at Konecta. “The platform’s agent builder, orchestration engine and help for each prebuilt and customized brokers permit us to agentify important workflows for every shopper, from customer support to back-office automation. This isn’t simply AI adoption — it’s actual transformation at enterprise scale.”
“For us, it wasn’t about including AI for the sake of it,” mentioned Rajesh Subramaniam, CEO of ResultsCX. “It was about shifting past fragmented level options to a unified platform that helps domain-specific language fashions and orchestrates each customized and prebuilt AI brokers. These brokers, a part of Uniphore’s agentic layer, are serving to us reimagine buyer journeys with extra intelligence, pace and enterprise impression.”
“Uniphore’s agentic suite of purposes stand out not just for their enterprise-grade applicability however for the way successfully they will allow a transition to Agentic-based workflows,” mentioned Luis Alonso, Head of Buyer Knowledge Technique & Engineering – International Advertising and marketing Knowledge Sciences at HP. “We’ve seen firsthand how their Advertising and marketing AI CDP drives our enterprise ahead by giving self-serve entry to information for our advertising and marketing groups.”
[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]